1200 Courses in Cardiff delivered Online

Duration 1 Days 6 CPD hours This course is intended for System administrators and security operations personnel, including analysts and managers Overview By the end of the course, you should be able to meet the following objectives: Describe the components and capabilities of VMware Carbon Black Cloud Endpoint Standard Identify the architecture and data flows for Carbon Black Cloud Endpoint Standard communication Perform searches across endpoint data to discover suspicious behavior Manage the Carbon Black Cloud Endpoint Standard rules based on organizational requirements Configure rules to address common threats Evaluate the impact of rules on endpoints Process and respond to alerts Describe the different response capabilities available from VMware Carbon Black CloudTM This course teaches you how to use the VMware Carbon Black Cloud Endpoint? Standard product and leverage the capabilities to configure and maintain the system according to your organization?s security posture and policies. This course provides an in-depth, technical understanding of the product through comprehensive coursework and hands-on scenario-based labs. Course Introduction Introductions and course logistics Course objectives Data Flows and Communication Hardware and software requirements Architecture Data flows Searching Data Creating searches Analyzing events Search operators Advanced queries Policy Components Rules Local scanner Sensor capabilities Prevention Capabilities Using Rules Rule types Rule creation Reputation priority Configuring rules Evaluating rule impact Processing Alerts Alert triage Alert actions Response Capabilities Using quarantine Using live response Hash banning

Duration 1 Days 6 CPD hours This course is intended for System administrators and security operations personnel, including analysts and managers Overview By the end of the course, you should be able to meet the following objectives: Manage and configure the Carbon Black App Control sever based on organizational requirements. Implement rules to support business processes and automatic approvals. Identify scenarios and use cases for Custom rules and Event rules. Describe common troubleshooting scenarios for the Carbon Black App Control server. Describe common troubleshooting scenarios for the Carbon Black App Control Windows agent. This course teaches you how to configure and scope the rules within VMware Carbon Black© App ControlTM product to maintain the system according to your organization?s security posture and organizational policies. Additionally, this course covers troubleshooting both the server and the agent for Carbon Black App Control and how to identify issues that impact normal operations. This course provides an in-depth, technical understanding of the Carbon Black App Control product through comprehensive coursework and hands-on scenario-based labs. Course Introduction Introductions and course logistics Course objectives Custom Rules Basics Execute / Write action rules Precedence Paths tom Rules Best Practices Rule Triad Rule multiplication Rule Types Custom rule type overview Optimizing Custom Rules Evaluating events Event Rules Creating and editing Testing before implementing Creating and editing Testing before implementing Server versus agent issues Server Capabilities Tools, logs, common issues, scenarios Agent Capabilities Tools, logs, common issues, scenarios

Register on the Machine Learning Basics today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The Machine Learning Basics is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Machine Learning Basics Receive an e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Upon successful completion of the final assessment, you will be eligible to apply for the Quality Licence Scheme Endorsed Certificate of achievement. This certificate will be delivered to your doorstep through the post for £119. An extra £10 postage charge will be required for students leaving overseas.  CPD Accredited Certificate After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Who Is This Course For The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements The online training is open to all students and has no formal entry requirements. To study the Machine Learning Basics, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and Total Charge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for Total Charge 00:14:00 The 'Just Right' Model for Toral Charge: A More Detailed Error Analysis@@ 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

24-Hour Knowledge Knockdown! Prices Reduced Like Never Before Imagine turning your hustle into a thriving online business. The UK e-commerce market is on fire, projected to hit a cool £500 billion this year. But with so much competition, how do you stand out? This jam-packed Diploma in Ecommerce Products, Brands & Services equips you with the skills to dominate the digital marketplace. This course goes beyond just selling stuff online. It covers everything from product development, brand management to service delivery in an online environment. You will learn strategic marketing and social media tactics to grab customer attention. Master SEO to become a search engine magnet, and learn product photography that converts clicks into sales. Plus, hone your sales skills and decision-making chops to thrive in the fast-paced world of e-commerce. With a single payment, you will gain access to Ecommerce course, including 10 premium courses, a QLS Endorsed Hardcopy certificate (for the title course) and 11 PDF certificates for Absolutely free. This Ecommerce Bundle Package includes: Course 01: Diploma in E-Commerce Management at QLS Level 5 10 Additional CPDQS Accredited Premium Courses - Course 01: Strategic Marketing & Planning Course 02: Social Media Marketing Strategy Course 03: SEO and Digital Marketing Diploma Course 04: Facebook Marketing Strategy Course 05: Sales Skills Course Course 06: Creative Writing Skills Course 07: Product Photography Course 08: YouTube Marketing Strategy Course 09: Transport and Logistics Management Course 10: Decision-Making in High-Stress Situations Success becomes a lot simpler with this bundle package, which allows you to monetise your skills. This bundle is appropriate for both part-time and full-time students, and it can be completed at your own pace. Learning Outcomes of Ecommerce Products, Brands, and Services Understand the fundamentals of ecommerce and the theories behind it. Gain insights into the development and management of ecommerce products. Learn the principles of creating and managing brands in an online environment. Explore the dynamics of service delivery in ecommerce. Understand customer behaviours and expectations in digital commerce. Learn how to create engaging online shopping experiences. Gain knowledge on the role of digital marketing in promoting ecommerce products, brands, and services. Why Choose Us? Get a Free QLS Endorsed Certificate upon completion of Ecommerce Get a free student ID card with Ecommerce Training program (£10 postal charge will be applicable for international delivery) The Ecommerce is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Get Lifetime access to the Ecommerce course materials The Ecommerce comes with 24/7 tutor support After Completing this Ecommerce Products, Brands, and Services course, you can progress towards- COB Certified E-Commerce Manager Level 5 Diploma in IT - E-commerce and much more... Start your learning journey straight away with this bundle and take a step toward a brighter future! *** Course Curriculum: *** The bundle courses have the following curriculum: Course 01: Diploma in E-Commerce Management at QLS Level 5 Module 1: Introduction to Electronic Commerce Module 2: Ecommerce Strategy and Implementation Module 3: Customer Service Module 4: Products, Brands, and Services Module 5: Content Planning and Production Module 6: Use of Social Networks Module 7: Marketing Module 8: Creating an Engaging User Experience Module 9: Transaction Management Module 10: Ecommerce Analytics Course 02: Strategic Marketing & Planning Module 1: An Introduction to Strategic Planning Module 2: Development of a Strategic Plan Module 3: Strategic Planning for Marketing Module 4: Strategic and Marketing Analysis Module 5: Internal Analysis Module 6: External Analysis Module 7: Market Segmentation, Targeting and Positioning Module 8: Approaches to Customer Analysis Module 9: Approaches to Competitor Analysis Course 03: Social Media Marketing Strategy The Rise Of Social Media Conducting Market Analysis Auditing Social Media Setting Goals And Selecting Platforms Creating The Social Media Policy Integrating Marketing Strategies Developing Effective Content Understanding The Popular Platforms Launching Successful Campaigns Managing The Community Providing Customer Service Measuring, Analyzing And Reporting The Social Media Strategist Career =========>>>>> And 8 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your QLS Endorsed Certificates and CPD Accredited Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*11 = £143) QLS Endorsed Hard Copy Certificate: Free (For The Title Course: Previously it was £119) CPD 260 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Requirements You will not need any prior background or expertise to enrol in this bundle. Career path After completing this bundle, you are to start your career or begin the next phase of your career. E-commerce Manager Marketing Guru Social Media Whiz SEO Mastermind Sales Champion Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. Diploma in E-Commerce Management at QLS Level 5 Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee.

HGV Training (Heavy Goods Vehicle) Training Get Hard Copy + PDF Certificates + Transcript + Student ID Card as a Gift - Enrol HGV Training Now Do you want to learn what it takes to be an HGV Driver? With approximately 100k vacancies UK-wide and earning potential of up to £60k a year, there has never been a better time to be an HGV driver in the UK. Our HGV Training bundle will help you learn the essential parts of the Large Goods Vehicle (LGV), transport management, manual handling, import/export, logistics management, vehicle repair and much more to become a well-versed HGV driver. This HGV Training Bundle Consists of the following Premium courses: Course 01: Heavy Goods Vehicle (HGV Training) Course 02: Delivery Driver Training Course 03: Transport Management Diploma Course 04: Freight Consultant Training Course 05: Logistic Management Course 06: Import/Export Processing Course 07: Car Mechanic and Repair Training Course 08: MET Technician Course 09: Driver Safety Awareness Certificate - CPD Certified Course 10: Engine Lubricant System Training - Level 4 Course 11: Emergency First Aid and Incident Management at Work Enrol now in HGV Training to advance your career, and use the premium study materials from Apex Learning. Benefits you'll get from choosing Apex Learning for this HGV Training: Pay once and get lifetime access to 14 CPD courses in this HGV Training Course Free e-Learning App for engaging reading materials & helpful assistance Certificates, student ID for the HGV Training course included in a one-time fee Free up your time - don't waste time and money travelling for classes Accessible, informative modules of HGV Training designed by expert instructors Learn about HGV Training at your ease - anytime, from anywhere Study the HGV Training from your computer, tablet or mobile device CPD accredited HGV Training course - improve the chance of gaining professional skills So enrol now in this HGV Training Bundle to advance your career! ***HGV Training*** The curriculum of HGV Training Bundle Course 01: Heavy Goods Vehicle (HGV Training) Module 01: Knowing Your LGV Module 02: Characteristics of Vehicle Module 03: Vehicle Limit Module 04: Loads and Load Restraint Module 05: Drivers' Hours and Records Module 06: Vehicles and Driving Module 07: Health and Conduct Module 08: Your LGV Module 09: Qualified LGV Driver Module 10: Provisional LGV Licence Module 11: CPC Test Part 01 and 02 Module 12: CPC Test Part 03 and 04 Module 13: After Getting Qualification =========>>>>> And 10 More Courses <<<<<========= How will I get my HGV Training Certificate? After successfully completing the HGV Training course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course) So enrol now in this HGV Training Bundle to advance your career! CPD 110 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this HGV Training bundle. Persons with similar professions can also refresh or strengthen their skills by enrolling in this HGV Training course. Students can take this course to gather professional knowledge besides their study or for the future. Requirements Our HGV Training is fully compatible with PC's, Mac's, laptops, tablets and Smartphone devices. This HGV Training course has been designed to be fully compatible with tablets and smartphones, so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this HGV Training; it can be studied in your own time at your own pace. Career path HGV Training (Heavy Goods Vehicle) HGV Driver - £22,131 - £58,500 annually HGV Fitter - £20,431 - £38,131 annually HGV Technician - £28,131- £48,000 annually Certificates Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Transport Management Diploma) absolutely Free! Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Transport Management Diploma) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Getting Started The OTHM Level 7 Diploma in Immersive Software Engineering aims to equip learners with advanced-level knowledge and skills to design, develop, and evaluate immersive software engineering systems. By completing this qualification, learners will acquire the skills to support research and innovation in various domains, such as Web and cloud technologies, Security, Automation, Data analytics, and Project methodologies. The primary objective of this diploma is to develop critical thinking and research skills in learners to identify and address complex problems in the software engineering field. Key Benefits This qualification will bring you many vital benefits, such as; The study program is designed to be both stimulating and challenging, providing learners with a chance to gain essential subject knowledge to help them succeed in further studies or the workforce. The program's content has been updated to match the latest employer and higher education requirements. Assessments evaluate both cognitive and affective skills, along with applied skills. Learners will develop valuable knowledge and academic skills, including active research, effective writing and analysis, creative problem-solving, decision-making, and digital literacy. Key Highlights Are you aspiring to become a Software Developer? Then, the OTHM Level 7 Diploma in Immersive Software Engineering program offered by the School of Business and Technology London is the right solution for you. Remember! The assessment for the qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our OTHM-approved tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways The OTHM Level 7 Diploma in Immersive Software Engineering can open many career pathways including, but not limited to: Chief technology officer; Est. Salary £1,41,489 per annum Senior software engineer; Est. Salary £55,913 per annum Junior software engineer; Est. Salary £25,904 per annum Team Leader; Est. salary £27,903 per annum     About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- Security Engineering Reference No : Unit 1 - F/650/7994 Credit : 20 || TQT : 200 Hours This unit teaches secure software development, system hardening, authentication, encryption, network security, and web application architecture. UNIT2- Software Programming Principles and Practices in Java I Reference No : Unit 2 - H/650/7995 Credit : 20 || TQT : 200 Hours This unit teaches learners about programming languages, including what it is, how it works, and how to interact with computers. Learners will learn the basics through real-world coding examples and regular coding assignments. UNIT3- Agile Project Management Reference No : Unit 3 - J/650/7996 Credit : 20 || TQT : 200 Hours This unit covers project management, Scrum, and Kanab for IT product development. Build products iteratively and optimize value flow for customers. UNIT4- Cloud Computing & DevOps Reference No : Unit 4 - K/650/7997 Credit : 20 || TQT : 200 Hours This unit teaches cloud computing, DevOps, and various cloud models (IaaS, PaaS, SaaS), including different cloud services. UNIT5- Database & SQL Programming Reference No : Unit 5 - L/650/7998 Credit : 20 || TQT : 200 Hours The unit teaches learners the limitations of traditional storage systems, how modern relational databases overcome these challenges, and programming skills to communicate with databases using SQL. UNIT6- Web Designing Reference No : Unit 6 - M/650/7999 Credit : 20 || TQT : 200 Hours This course teaches learners to create HTML, CSS, and JavaScript web pages. Design sites, use styles, tables, lists, and HTML user input properties, and learn JavaScript basics. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Getting Started The main aim of the OTHM Level 7 Diploma in Data Science is to enhance the knowledge and skills required to extract business-oriented insights from data. This involves comprehending how value and information circulate in a business and utilising this knowledge to recognise potential business prospects.The main aim of the OTHM Level 7 Diploma in Data Science is to enhance the knowledge and skills required to extract business-oriented insights from data. This involves comprehending how value and information circulate in a business and utilising this knowledge to recognise potential business prospects. Key Benefits This qualification will bring you many vital benefits, such as; Learners can gain the essential subject knowledge needed to progress successfully into further study or the world of work. Refreshed content that is closely aligned with employer and higher education needs Develop a comprehensive knowledge of classical data analytics, including statistical inference, predictive modelling, time series analysis and data reduction. Become familiar with and use the tools and techniques used in data visualisation. Assessments that consider cognitive skills along with affective and applied skills Key Highlights Do you wish to be a Data Scientist? Then, The OTHM Level 7 Diploma in Data Science program offered by the School of Business and Technology London is the right solution for you. Remember! The assessment for the qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our OTHM-approved tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways The OTHM Level 7 Diploma in Data Science can open many career pathways including, but not limited to: Data scientist- Est. Salary £59,680 Data Analyst- Est. Salary £42,984 Business Analyst-Est. Salary £54,413   About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- Data Science Foundations Reference No : Unit 1 - F/650/5562 Credit : 20 || TQT : 200 Hours This unit introduces various data science concepts, including data administration, governance, and big data sources. UNIT2- Probability and Statistics for Data Analysis Reference No : Unit 2 - H/650/5563 Credit : 20 || TQT : 200 Hours The objective of this unit is to offer a comprehensive introduction to the fundamental principles of probability and statistics, starting from the basics. It will cover a wide spectrum of data analysis procedures and methodologies. UNIT3- Advanced Predictive Modeling Reference No : Unit 3 - J/650/5564 Credit : 20 || TQT : 200 Hours You will become acquainted with key predictive modelling methods and their underlying foundational principles in this unit. UNIT4- Data Analysis and Visualisation Reference No : Unit 4 - K/650/5565 Credit : 20 || TQT : 200 Hours This unit serves as a crucial foundation for grasping the core concepts of the data analysis process, encompassing data collection, data cleansing, data analysis, and the effective communication of insights through visualisations and dashboard tools. UNIT5- Data Mining Machine Learning and Artificial Intelligence Reference No : Unit 5 - J/650/5573 Credit : 20 || TQT : 200 Hours The primary aim of this unit is to provide an introduction to the scientific principles underpinning machine intelligence and to explore the philosophical discourse surrounding the endeavour to simulate human intelligence for addressing real-world challenges. UNIT6- Advanced Computing Research Methods Reference No : Unit 6 - L/650/5566 Credit : 20 || TQT : 200 Hours This unit aims to enhance learners' skills in preparing for diverse forms of academic computing research by guiding them through creating and designing a research proposal. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Embark on a captivating journey into the world of artificial intelligence with our course, 'Machine Learning Basics.' This voyage begins with an immersive introduction, setting the stage for an exploration into the intricate and fascinating realm of machine learning. Envision yourself unlocking the mysteries of algorithms and data patterns, essential skills in today's technology-driven landscape. The course offers a comprehensive foray into the core principles of machine learning, starting from the very basics and gradually building to more complex concepts, making it an ideal path for beginners and enthusiasts alike. As you delve deeper, each section unravels a vital component of machine learning. Grasp the essentials of regression analysis, understand the role of predictors, and navigate through the functionalities of Minitab, a key tool in data analysis. Journey through the structured world of regression trees and binary logistic regression, and master the art of classification trees. The course also emphasizes the importance of data cleaning and constructing robust data models, culminating in the achievement of learning success. This course is not just an educational experience; it's a gateway to the future of data science and AI. Learning Outcomes Comprehend the basic principles and applications of machine learning. Develop proficiency in regression analysis and predictor identification. Gain practical skills in Minitab for data analysis. Understand and apply regression and classification trees. Acquire expertise in data cleaning and model creation. Why choose this Machine Learning Basics course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Machine Learning Basics course for? Novices eager to delve into machine learning. Data enthusiasts looking to enhance their analytical skills. Professionals in IT and related fields expanding their expertise. Academics and students in computer science and data studies. Career changers interested in the field of data science and AI. Career path Data Analyst - £30,000 to £55,000 Machine Learning Engineer - £40,000 to £80,000 AI Developer - £35,000 to £75,000 Business Intelligence Analyst - £32,000 to £60,000 Research Scientist (Machine Learning) - £45,000 to £85,000 Software Engineer (AI Specialization) - £38,000 to £70,000 Prerequisites This Machine Learning Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Basics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and TotalCharge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: A More Detailed Error Analysis 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00

The Event Planning and Management Training course provides comprehensive knowledge and skills to successfully plan and execute various types of events. From understanding event planning steps to managing table settings and greetings, this course covers essential aspects of event management. Learning Outcomes: Understand the fundamentals of event planning and the necessary steps involved in organizing a successful event. Learn how to create invitations, manage greetings, and establish appropriate dress codes for different types of events. Gain knowledge of table manners and settings to create a pleasant dining experience for event attendees. Learn the intricacies of managing different types of events and ensuring their smooth execution. Acquire a solid understanding of event management principles, including logistics, coordination, and communication. Why buy this Event Planning and Management Training? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Event Planning and Management Training you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Event Planning and Management Training does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Prerequisites This Event Planning and Management Training was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Event Planning and Management Training is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Event Planning and Management Training Event Planning 01:33:00 Steps for Planning an Event 02:24:00 Invitations, Greetings, and Dress Code 01:09:00 Table Manners and Table Settings 01:51:00 The Event 01:09:00 What is Event Management 01:48:00 Types of Events 01:57:00 Mock Exam Mock Exam -Event Planning and Management Training 00:20:00 Final Exam Final Exam - Event Planning and Management Training 00:20:00

24-Hour Knowledge Knockdown! Prices Reduced Like Never Before Ever wondered why some stores seem to magically draw you in, while others leave you feeling uninspired? Visual merchandising is the art and science of creating compelling store displays that drive sales. A recent study by the Centre for Retail Research found that 60% of UK shoppers base their purchase decisions on in-store displays. Do you want to harness the power of visual merchandising to boost your retail career? If so Our Visual Merchandising bundle is for you! This Visual Merchandising Bundle is your one-stop shop for a successful retail career. You'll learn the core principles of visual merchandising, from creating eye-catching displays and managing product flow to understanding customer psychology and leveraging data analytics. The bundle also delves into essential retail operations skills like sales, purchasing, and logistics, ensuring you have a well-rounded understanding of the industry. Courses Are Included In this Visual Merchandising Career Bundle: Course 01: Visual Merchandising Diploma Course 02: Merchandising Management Course 03: Retail Management Course 04: Sales Skills Course 05: Purchase Ledger Course 06: Store Assistant Course 07: Operations Management Course 08: Supply Chain Management Course 09: Warehouse Safety Course 10: Logistic Management Course 11: Commercial Management Course 12: Product Management Course 13: Brand Branding Course 14: Branding Fundamentals for New Business Course 15: E-Commerce: Complete Guide to Income Mastery Course 16: Retail Data Analytics Course 17: Diploma in Import/Export Course 18: Sales and Marketing Course 19: Social Media Marketing Strategy Course 20: Customer Service Diploma Master the art of visual storytelling and take your retail career to the next level. Enrol in this bundle today and unlock a world of exciting opportunities! Learning Outcomes of Visual Merchandising Implement proven visual merchandising techniques to create high-impact store displays. Master the principles of retail management, from inventory control to staff scheduling. Develop effective sales strategies to increase customer engagement and conversions. Utilize data analytics to inform merchandising decisions and optimize store performance. Gain a comprehensive understanding of import/export procedures. Build a strong foundation in social media marketing strategies for retail businesses. Why Choose Us? Get a Free CPD Accredited Certificate upon completion of Visual Merchandising Get a free student ID card with Visual Merchandising Training program (£10 postal charge will be applicable for international delivery) The Visual Merchandising is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Get Lifetime access to the Visual Merchandising course materials The Visual Merchandising comes with 24/7 tutor support Start your learning journey straightaway! *** Course Curriculum *** Course 01: Visual Merchandising Diploma Module 01: Introduction to Visual Merchandising Module 02: Store Layouts Module 03: Exterior Design Module 04: In-Store Design Module 05: Mannequins in Visual Merchandising Module 06: Display Fixtures Module 07: The Role of a Visual Merchandiser Module 08: Challenges of Modern Visual Merchandising Course 02: Merchandising Management Module 01: Merchandising Theory Module 02: Product Management Module 03: Merchandise Management Module 04: Inventory Management And Analysis Module 05: Merchandising Strategy Module 06: Visual Merchandising Module 07: Merchandise Pricing Module 08: Importance Of Consumer Behaviour Module 09: Consumer Rights Act Module 10: The Importance Of Communicating With Customers Course 03: Retail Management Module 01: Introduction To Retail Management Module 02: Retail Strategy Module 03: Retail Buying And Merchandising Module 04: Retail Pricing Module 05: Supply Chain Management In Retailing Module 06: The Sales Process And Dealing With Customers At The Checkout Module 07: Importance Of Consumer Behaviour Module 08: Taking Trends And Targeting Customers Effectively Module 09: The Importance Of Communicating With Customers Module 10: Choosing A Retail Location Module 11: Retail Psychology Module 12: Negotiate The Right Deal With Suppliers Module 13: Develop Store Security Procedures Module 14: Management Skills For Leading Your Team Module 15: Selling In Multiple Channels Module 16: Retail Brand Management Module 17: Health & Safety For Retail Stores Module 18: Consumer Rights Act =========>>>>> And 17 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*20 = £259) CPD Hard Copy Certificate: Free ( For The First Course: Previously it was £29.99) CPD 200 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This visual merchandising course is open to anyone with an interest in the field. It is most appropriate for- Beginners in Retail Aspiring VMers Retail Managers Sales Professionals Business Owners Marketing Enthusiasts Requirements You will not need any prior background or expertise to enrol in this bundle. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Visual Merchandiser Retail Manager Store Buyer Supply Chain Manager Marketing Manager Business Owner Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. CPD Accredited Hard Copy Certificate Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee.